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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    "tw" characters

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "tw" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¹ãĥĪ
    -0.82
    ãĤŃ
    -0.79
    senal
    -0.73
     PRESS
    -0.72
     è£ıç
    -0.68
    HAEL
    -0.67
    Journal
    -0.66
    ãĥ£
    -0.66
     Cheong
    -0.65
     appropriation
    -0.63
    POSITIVE LOGITS
    elve
    1.20
    enty
    1.18
    orks
    1.15
    ipes
    1.02
    anted
    0.96
    ither
    0.95
    itness
    0.91
    ifty
    0.90
    ipe
    0.90
    ymes
    0.90
    Activations Density 0.007%

    No Known Activations